Machine Learning Engineer

Farkas Kiss Endre legjobb állása KAPSCH

info@k-business.com;kbc.de@k-business.com;kbc.de@k-business.com?subject=K-Businesscom;info@cancom.com;kbc.de@k-business.com?subject=Impressum;office@cancom.at

Bewerbung fur Development Environment Engineer (f/m/d)

Levél szövege

Lieber KAPSCH!

Ich möchte mich bei Ihrem Unternehmen als Machine Learning Engineer bewerben. 
Ich bin ein Fullstack-Entwickler, bei dem ich meine 10-jährige Erfahrung mit verschiedenen Technologien einsetzen kann.

Ich habe meinen Lebenslauf an diese E-Mail angehängt.

Wir freuen uns darauf, von Ihnen zu hören!


Endre Farkas Kiss "Sodika"
Java and PHP Fullstack Developer, Nudist, Vlogger

https://www.linkedin.com/in/farkas-kiss-63bb9210a
https://sodika.org

Álláshirdetés szövege

Kapsch TrafficCom develops smart solutions to make mobility safer, more sustainable and efficient for everybody. We design, build and operate traffic management systems including connected vehicles technology and mobility demand management as well as tolling services for cities, roads, tunnels and bridges around the world. We develop data and video analytics platforms, building on state-of-the-art technologies including AI, machine learning, big data and cloud services to enable the digitalization of mobility.
This recruitment process is for an international team, so please submit your resume in English.
We are looking for a Machine Learning Engineer. If you have a proficient background in information technology with a specific focus on ML related to Data Science/Engineering and you´re passionate about mobility and traffic data in this field, apply for the role and grow with us!
Your Responsibilities
You design and build ML services to power our data products enabling data-driven decisions to improve traffic safety and prediction accuracy
You develop, train and test ML models to perform information retrieval and forecast analysis for mobility and traffic data domain
Using large data-sets to develop algorithms capable of learning and eventually making predictions
Analyzing use cases of ML algorithms, ranking by success probability and applying the outcome to support business decisions
Enriching existing ML frameworks and libraries
You productize training models and package them into independent software services
You continuously improve deployed models by applying state-of-the-art techniques as well as code and data set quality, you are automating what is not
Contribution to software development in close collaboration with the team
Your profile
Bachelor Degree in Computer Science or related (we will also consider equivalent practical experience)
Min. 3 years of experience in product development of ML related products and solutions
Solid understanding of ML algorithms, proficient in math and statistics
Proficient experience with programming languages and data tools
Hands-on with Python, NumPy, Pandas, Matplotlib, scikit-learn, model/code-testing
Experience in building up machine learning train and release pipelines
Analytical mindset and solution driven personality
You practice and live the agile mindset
Good oral and written English
Desirable:
Knowledge of time series and geo-data
Experience with Tensorflow, Keras, R, Jupyter
Knowledge of data version control and ML-metadata
Practical knowledge of CI/CD tools
Good to have: Java, Spark, Flink, Cloud
Our offer:
Permanent role
The salary for this role is starting from 45.000€ gross/year
Flexible working hours
Hybrid working model (3 days of remote work/week)
Additional days off
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